50 python "Computer Vision Center" "Computer Vision Center" Postdoctoral positions in France
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- CNRS
- Institut Pasteur
- Inria, the French national research institute for the digital sciences
- CNRS-LMA
- ENS
- Ecole Normale Supérieure
- European Synchrotron Radiation Facility
- Grenoble INP - Institute of Engineering
- INSA Rouen Normandie
- INSERM
- Luxembourg Institute of Health (LIH)
- Université Bourgogne Franche-Comté
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- Université de Limoges
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physics or closely related field. •Experience with data analysis and associated statistical methods. •Strong programming skills (C++, Python, ROOT, etc.) •English proficiency (written and spoken) is
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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for cosmological simulation, Bayesian sampling or high-performance computing. Strong skills in Python programming and collaborative development (Git/GitHub, CI/CD, open-source practices). Ability to conduct research
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preferred. Skills in one or several programming languages (e.g. Python, Fortran, C++) are necessary. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-ANTGUS-003/Default.aspx Work
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• Experimental data analysis (forces, fields, imaging) — good level • Scientific programming (Python/C++ or equivalent) — good level Technical know-how: • Coupling physical models with experimental data — expected
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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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MEG or EEG), strong skills in artificial neural netwroks, strong programming skills (MATLAB and/or Python), and solid knowledge of statistical methods. Experience in designing, fitting and comparing
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Experience1 - 4 Additional Information Eligibility criteria - PhD on steganalysis and/or watermarking - knowledge in image coding and on generative methods - knowledge about python Additional comments NA
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(bash, Python) and image analysis. • Management of large-scale scientific data (images and processing) and critical literature review of state-of-the-art methods. • Communication skills in a
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scientific computing tools such as C++, Python, and ROOT. Familiarity with collaborative software development and version-control tools, such as Git, would be appreciated. • Experience with particle physics